Why is the entry-level iPad missing out on Apple Intelligence? Sales data reveals the truth!

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Technology Insights Daily
April 09, 2025

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The entry-level iPad lacks support for Apple Intelligence primarily due to hardware limitations. Apple Intelligence requires devices to have at least an M1 chip or the A17 Pro chip, along with a minimum of 8GB of RAM, to function effectively . The current entry-level iPad models are equipped with less powerful processors and only 4GB of RAM, making them incapable of handling the computational demands of Apple Intelligence .​

From a marketing perspective, this differentiation encourages consumers seeking advanced AI features to opt for higher-end models like the iPad Air or iPad Pro, which are designed with the necessary hardware to support Apple Intelligence . This strategy not only streamlines the product lineup but also drives sales towards more premium devices.​

In summary, the absence of Apple Intelligence in the entry-level iPad is due to both technical constraints and strategic product positioning.

OpenAI's recent introduction of GPT-4o's image generation feature in ChatGPT has garnered significant attention, particularly for its ability to produce images in the style of Studio Ghibli animations. This surge in popularity led to an overwhelming number of user requests, causing substantial strain on OpenAI's GPU resources. CEO Sam Altman acknowledged the situation, noting that their GPUs were "melting" due to the unexpected demand. Consequently, OpenAI decided to delay the rollout of this feature to free-tier users, prioritizing access for ChatGPT Plus, Pro, and Team subscribers. Altman expressed the need to implement temporary rate limits while the team works on enhancing system efficiency. He also indicated that free-tier users would eventually receive limited access, with a cap of three image generations per day. This strategic move aims to balance user demand with system capabilities, ensuring a stable and responsive experience for all users.

The rise of AI tools has transformed the design landscape, making it more accessible than ever. With platforms like ChatGPT, DALL·E, Midjourney, and Canva’s AI features, individuals without formal training can now create high-quality visuals, logos, user interfaces, and marketing materials. These tools use natural language prompts, allowing users to describe what they want and instantly receive design outputs. This democratization of design empowers entrepreneurs, content creators, students, and small businesses to visually express ideas without relying on professional designers or expensive software.

In the past, design required years of study and mastery of complex tools like Adobe Photoshop or Illustrator. Today, AI handles much of the technical heavy lifting — adjusting color palettes, suggesting layouts, and even generating brand assets based on user preferences. While professional designers still have a critical edge in strategy and aesthetics, AI gives everyone the ability to bring creative visions to life with speed and ease.

​Taiwan Semiconductor Manufacturing Company (TSMC) is expanding its operations in the United States, including a significant investment in Arizona. However, the U.S. facilities are not expected to match the technological advancements of TSMC's Taiwanese plants in the immediate future. TSMC's CEO, C.C. Wei, has highlighted challenges such as complex compliance issues, local construction regulations, and permitting requirements that have extended construction timelines in the U.S. to at least twice those in Taiwan. Consequently, implementing the latest chip technologies in the U.S. before Taiwan is unlikely. ​

These delays may impact the supply chain for major American tech firms, including Apple, which relies on TSMC for its latest chips. Analysts suggest that the effects of these delays may become more apparent in the coming years, potentially compelling companies like Apple to continue relying on TSMC's Taiwanese facilities for their most advanced chips. ​

Despite these challenges, TSMC remains committed to its U.S. expansion, with plans to invest an additional $100 billion to build new fabs and advanced packaging facilities. This move aims to enhance the U.S.'s capacity to produce advanced chips for leading tech companies.

OpenAI's ChatGPT recently introduced an image generation feature that allows users to create visuals in the distinctive style of Studio Ghibli. This capability quickly gained popularity, leading to a surge in demand that strained OpenAI's servers. CEO Sam Altman noted that their GPUs were "melting" due to the high volume of requests, prompting the company to implement temporary rate limits and restrict free-tier users to three image generations per day. ​

Beyond technical challenges, the feature raised ethical and legal concerns. Studio Ghibli's co-founder, Hayao Miyazaki, has previously expressed strong disapproval of AI-generated art, describing it as "an insult to life itself." Additionally, legal experts questioned whether OpenAI had the necessary permissions to use Studio Ghibli's work for training its models, highlighting potential copyright infringements. ​

In response to these issues, OpenAI began blocking requests for images mimicking the styles of specific living artists, aiming to balance user creativity with respect for original creators' rights.

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